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Entropy 2015, 17(2), 502-508; doi:10.3390/e17020502

Reshaping the Science of Reliability with the Entropy Function

1
IBM, via Shangai 53, Roma 00144, Italy
2
Research Centre on Information Systems (Cersi), University LUISS, via Salvini 2, Roma 00197, Italy
3
Dip. di Medicina Interna Vascolare , University of Perugia, piazza Menghini 1, Perugia 06129, Italy
This manuscript is presented on the 1st Electronic Conference of Entropy and Its Application (www.sciforum.net/conference/ecea-1).
*
Author to whom correspondence should be addressed.
Received: 1 December 2014 / Revised: 17 December 2014 / Accepted: 15 January 2015 / Published: 26 January 2015
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Abstract

The present paper revolves around two argument points. As first, we have observed a certain parallel between the reliability of systems and the progressive disorder of thermodynamical systems; and we import the notion of reversibility/irreversibility into the reliability domain. As second, we note that the reliability theory is a very active area of research which although has not yet become a mature discipline. This is due to the majority of researchers who adopt the inductive logic instead of the deductive logic typical of mature scientific sectors. The deductive approach was inaugurated by Gnedenko in the reliability domain. We mean to continue Gnedenko’s work and we use the Boltzmann-like entropy to pursue this objective. This paper condenses the papers published in the past decade which illustrate the calculus of the Boltzmann-like entropy. It is demonstrated how the every result complies with the deductive logic and are consistent with Gnedenko’s achievements. View Full-Text
Keywords: stochastic systems; reliability theory; reversibility; Boltzmann-like entropy; deductive logic; mature discipline stochastic systems; reliability theory; reversibility; Boltzmann-like entropy; deductive logic; mature discipline
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rocchi, P.; Capacci, G. Reshaping the Science of Reliability with the Entropy Function. Entropy 2015, 17, 502-508.

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